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Deep Learning Research Intern Jobs in Oregon (NOW HIRING)

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

$15 - $20/hr

... Learning Objectives: * The intern will learn how to conduct, aggregate, and analyze research to develop actionable insights for federal and commercial clients. * The intern will learn how to apply a ...

OR · On-site

... based research and generate insights from large data sets with a hands-on/can do attitude of ... Experience with one or more data science and machine/deep learning frameworks and tooling ...

You will work with the latest accelerated computing and Deep Learning software and hardware platforms, and with many scientific researchers, developers, and customers to craft improved workflows and ...

OR

$91K - $124K/yr

Overview As a Senior Machine Learning Engineer II on the Ads Response Prediction team, you will ... research) applying ML to ranking, recommendation, or prediction problems at scale. * Deep ...

Part of Amgen's R&D Strategy & Operations organization, the R&D Knowledge & Learning team serves ... You will embed yourself alongside your stakeholders to form a deep understanding their business as ...

Part of Amgen's R&D Strategy & Operations organization, the R&D Knowledge & Learning team serves ... You will embed yourself alongside your stakeholders to form a deep understanding their business as ...

Staff AI Research Engineer

Salem, OR · On-site

$216K - $338K/yr

In addition to driving research direction, you will play a key role in shaping the technical ... Strong programming skills in Python, with proficiency in deep learning frameworks such as PyTorch.

OR

$122K - $161K/yr

NVIDIA GPUs are at the center of the deep learning revolution and continue to enable breakthroughs ... or research experience in compiler optimization, performance analysis and IR design. * Ability to ...

Staff AI Research Engineer

Salem, OR · On-site +1

$216K - $338K/yr

In addition to driving research direction, you will play a key role in shaping the technical ... Strong programming skills in Python, with proficiency in deep learning frameworks such as PyTorch.

OR

$122K - $161K/yr

NVIDIA GPUs are at the center of the deep learning revolution and continue to enable breakthroughs ... or research experience in compiler optimization, performance analysis and IR design. * Ability to ...

Senior Developer Technology Engineer - AI

Hillsboro, OR · Hybrid

$59.25 - $78.50/hr

In this position, you will research and develop techniques to GPU accelerate workloads in deep learning, machine learning or other AI domains. * Work directly with other technical experts in their ...

OR · On-site

$104K - $143K/yr

Work closely with autonomy researchers, software engineers, systems teams, and field operators to ... Strong proficiency in Python and familiarity with at least one deep learning framework (e.g ...

Showing results 41-60

Deep Learning Research Intern information

See Oregon salary details

$8

$18

$27

How much do deep learning research intern jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for deep learning research intern in Oregon is $18.18, according to ZipRecruiter salary data. Most workers in this role earn between $15.29 and $20.34 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a deep learning research intern?

To thrive as a Deep Learning Research Intern, you need a strong grasp of machine learning fundamentals, programming skills (especially in Python), and a background in mathematics or computer science, often supported by relevant coursework or research experience. Familiarity with deep learning frameworks such as TensorFlow or PyTorch and proficiency in using data processing and visualization tools are typically expected. Creativity, problem-solving abilities, and effective communication help interns contribute novel ideas and collaborate within research teams. These skills are vital for developing, testing, and presenting cutting-edge AI models and solutions in a fast-evolving field.

What does a deep learning research intern do?

A Deep Learning Research Intern assists in the development and experimentation of machine learning models, particularly neural networks, to solve complex problems in fields like computer vision, natural language processing, or robotics. They typically work under the guidance of experienced researchers, contributing to tasks such as data preprocessing, model training, and result analysis. Interns may also help implement and optimize algorithms, read and summarize research papers, and prepare reports or presentations on their findings. This role provides hands-on experience with state-of-the-art AI technologies and research methodologies.

What are some common challenges faced by deep learning research interns, and how can they overcome them?

Deep Learning Research Interns often encounter challenges such as managing complex datasets, tuning neural network architectures, and keeping up with the latest research developments. It's common to spend significant time troubleshooting code or optimizing models for better performance. Collaborating closely with mentors and team members, actively participating in research discussions, and consistently reading recent papers can help interns overcome these hurdles. Utilizing open-source tools and frameworks, along with clear documentation practices, also streamlines the research process.
What cities in Oregon are hiring for Deep Learning Research Intern jobs? Cities in Oregon with the most Deep Learning Research Intern job openings:

Machine Learning Engineer

Bespoke Labs

Portland, OR

Full-time

Re-posted 22 days ago


Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of ML engineering experience — model training, fine-tuning, or post-training pipelines in research or production

Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision)

Hands-on experience with LLM post-training — SFT, RLHF, PPO, DPO, or reward model training — and understanding of how training data quality affects model behavior

Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or modify reward functions for agent training objectives

Experience running experiments at scale on cloud or HPC (AWS, GCP, SLURM, or Ray)

Solid understanding of evaluation methodology — held-out sets, benchmark design, avoiding train/eval contamination